Evidence map›Paper›PMID 39702451›Full record

ArticleNPJ biofilms and microbiomes2024

Revealing an unprecedented diversity of episymbiotic Saccharibacteria in a high-quality genome collection.

Wenxin He, Hewei Liang, Wenxi Li, Xiaowei Gao, Tongyuan Hu, Xiaoqian Lin, Zhinan Wu, Jingxi Sun, Xiaofang Li, Mengmeng Wang and 6 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  6. Gut Morphological Structure-Microbial Characteristics inAnimals : an open access journal from MDPI · 2025
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Wenxin HeBGI Research, Shenzhen, 518083, China.ORCID http://orcid.org/0000-0002-0390-6364
Hewei LiangBGI Research, Shenzhen, 518083, China.
Wenxi LiBGI Research, Shenzhen, 518083, China.
Xiaowei GaoBGI Research, Shenzhen, 518083, China.
Tongyuan HuBGI Research, Shenzhen, 518083, China.ORCID http://orcid.org/0000-0003-4172-3136
Xiaoqian LinBGI Research, Shenzhen, 518083, China.
Zhinan WuBGI Research, Shenzhen, 518083, China.
Jingxi SunBGI Research, Shenzhen, 518083, China.
Xiaofang LiBGI Research, Shenzhen, 518083, China.
Mengmeng WangBGI Research, Shenzhen, 518083, China.
Xiaoxue HouBGI Research, Shenzhen, 518083, China.
Zhuye JieBGI Research, Shenzhen, 518083, China.
Xin TongBGI Research, Shenzhen, 518083, China.
Xin JinBGI Research, Shenzhen, 518083, China.ORCID http://orcid.org/0000-0001-7554-4975
Liang XiaoBGI Research, Shenzhen, 518083, China. xiaoliang@genomics.cn.ORCID http://orcid.org/0000-0003-0836-4397
Yuanqiang ZouBGI Research, Shenzhen, 518083, China. zouyuanqiang@genomics.cn.ORCID http://orcid.org/0000-0003-2380-264X

Funding

Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2019B020230001
6 · The paper itself

Abstract

The episymbiotic Candidatus Saccharibacteria is the most studied lineage of candidate phyla radiation. Living an epiparasitic lifestyle, Saccharibacteria might be associated with human mucosal diseases by modulating the structure of the oral microbiome through interactions with host bacteria. However, the knowledge of Saccharibacterial genomic diversity and the potential underlying their adaptation to a wide range of habitats remains limited. Here, we construct a high-quality genome collection of Saccharibacteria from multiple sources, providing 2041 high-quality genomes and previously unidentified taxa. The comparative genomic analysis shows the widespread metabolic defects of Saccharibacteria. Specific metabolic modules are commonly found in Saccharibacteria of different habitats, suggesting Saccharibacteria might have undergone habitat adaptation during the transition from different environments. We additionally show that Saccharibacteria account for ~1% of the Chinese oral microbiome. A preliminary analysis of rheumatoid arthritis individuals and healthy controls implies that Saccharibacteria might be associated with human systemic disease.

Indexed as

Genome, BacterialMicrobiotaSymbiosisChinaGenetic VariationHumansMouthPhylogeny

Identifiers

PMID39702451
PMCPMC11659515

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.